# Procurement Cycles Analyzer — Category Frequencies + Numeric Row Ordering

> Procurement Cycles Analyzer — Category Frequencies + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Analyzes procurement cycle records to produce category frequency breakdowns and numeric row ordering for request_days or approval_days fields, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-06-100?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/procurement-cycles-analyzer-category-frequencies-numeric-row-ordering-a90ac67b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_F-i-bWN38rT_zjnOKFlip

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability procurement-cycles-analyzer-category-frequencies-numeric-row-ordering-a90ac67b -d '<json body>'
```

Example prompt: Can you analyze these procurement cycle records — I have rows with team_group, date, request_days, and approval_days — and give me both a category frequency breakdown by team group and a numeric ranking of all rows by approval_days?

## When to prefer this

Choose this endpoint when you have procurement cycle data (up to 200 rows) and need both a category frequency summary and a numeric row ranking in a single API call for a flat $0.01 USDC fee. It is ideal for lightweight, offline analytical tasks on supplied data without requiring any external database, prediction model, or professional assessment. Prefer alternatives if you need more than 200 rows, real-time lookups, or analytical reports beyond frequency counting and row ordering.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — rejected by schema validation
- Missing required fields (row_id, team_group, date, request_days, approval_days) on any row
- Date field not matching YYYY-MM-DD pattern — validation error
- Invalid field enum value (must be 'request_days' or 'approval_days')
- Numeric values outside allowed range (±1,000,000,000,000) rejected
- Payment not completed via x402 protocol — endpoint not executed

## How this service works

Procurement cycles — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering for supplied procurement cycles records (request_days, approval_days). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent reports: (1) a category frequency table showing how often each team_group value appears in the supplied rows, and (2) a numerically ordered list of rows ranked by the selected field (request_days or approval_days). Both reports are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "request_days",
     "approval_days"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "request_days": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "approval_days": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "request_days": 10,
     "approval_days": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "request_days": 20,
     "approval_days": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "request_days": 15,
     "approval_days": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "request_days": 30,
     "approval_days": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "request_days",
    "approval_days"
   ],
   "type": "string",
   "default": "request_days"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/procurement-cycles-analyzer-category-frequencies-numeric-row-ordering-a90ac67b/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)